NETWORK OF TRUST AS MARRIED TO MULTI-SCALE

• US 20090319940A1
• Filed: 06/20/2008
• Published: 12/24/2009
• Est. Priority Date: 06/20/2008
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Lawler, Stephen L., Szeliski, Richard Stephen, Flake, Gary W., Farouki, Karim, Sheppard, Adam P., Chor, Anthony T., Lazier, Ariel J., Arcas, Blaise Aguera y
• Application Number:
  US12/142,906
• Publication Number:
  US 20090319940A1
• Time in Patent Office: Days
• US Class Current: 715/781
• CPC Class Codes: H04L 41/22 comprising specially adapted graphical user interfaces [GUI]

Abstract

The claimed subject matter provides a system and/or a method that facilitates visually representing data relationships within a network. A network includes a graphical representation of a user in which the network is a node structure with relationships between two or more users. An organization component that can analyze one of a degree of separation between two or more users represented within the network or an expertise level of a user represented within the network, the expertise level corresponds to a topic. The organization component can scale the portion of graphic representative based upon the analysis.

Claims

1. A system that facilitates visually representing data relationships within a network, comprising:

a network that includes at least one user represented by a portion of a graphic, the network is a node structure with a relationship between two or more users;

an organization component that analyzes at least one of the following;

a degree of separation between two or more users represented within the network;

or

an expertise level of a user represented within the network, the expertise level corresponds to a topic; and

the organization component scales the portion of graphic representative of at least one user based upon the analysis.

2. The system of claim 1, the user within the network is represented by at least one of a portion of text, a picture, a photograph, an icon, an avatar, or an image.

3. The system of claim 1, the organization component scales the portion of graphic representative of at least one user based on sorting criteria, the sorting criteria is at least one of a relationship strength, knowledge of a topic, a geographic proximity, a computing resource, a duration of employment, a portion personal data, a position, a salary, an amount of education, an amount of trust, a duration of friendship, a communication availability, a network speed, a portion of machine data, an amount of common interests, a proximity between two machines, or a cooperative task attribute.

4. The system of claim 1, the network is at least one of a social network, a computing network, a business network, an Internet protocol (IP) network, or a cellular network.

5. The system of claim 1, further comprising a browsing session that includes a portion of data explored by a user, the portion of data explored is evaluated to identify a context which is indicative of an interest of the user.

6. The system of claim 5, the organization component identifies the interest with the browsing session by examining at least one of an application executing in connection with the browsing session, a user behavior within the browsing session, a portion of profile data, a browsing history related to a browsing session, usage of the browsing session, a portion of implicit user data, a portion of explicit user data, data related to a user preference, or content interaction history for a user.

7. The system of claim 5, the organization component identifies the interest with the browsing session by examining at least one of an application version data, type of application, frequency of use of the application, copyright data for the application, manufacturer of the application, size of the application, a click frequency within the browsing session, scroll frequency within the browsing session, a portion of highlighting within the browsing session, an input received during the browsing session, input device location, a duration of browsing on a particular portion of data, an explicit tagging within the browsing session, a frequency of browsing a portion of data, a data feed subscription, or data related to a user setting for a personalized web site.

8. The system of claim 5, the organization component scales at least one graphic representative of a user within the network, the scaling is reflective of at least one of an amount of knowledge for the interest, an amount of expertise for the interest, or an amount of similarity of the interest between the user and a disparate user within the network.

9. The system of claim 1, further comprising a display engine that browses the network, the display engine enables at least one of a seamless pan or a zoom interaction with the network, wherein such network includes one or more planes of view.

10. The system of claim 1, the network includes a portion of image data that represents a computer displayable multiscale image with at least two substantially parallel planes of view in which a first plane and a second plane are alternatively displayable based upon a level of zoom and which are related by a pyramidal volume, the multiscale image is scaled based upon the analysis.

11. The system of claim 10, the second plane of view displays a portion of the first plane of view at one of a different scale or a different resolution based upon the analysis.

12. The system of claim 10, the second plane of view displays a portion of the image data that is graphically or visually unrelated to the first plane of view based upon the analysis.

13. The system of claim 10, the second plane of view displays a portion of the image data that is disparate than the portion of the image data associated with the first plan of view based the analysis.

14. The system of claim 1, the network includes a 3-dimensional (3D) virtual environment created from a plurality of 2-dimensional (2D) content of an image that is navigated by the user, each portion of 2D content includes a perspective of the image, a portion of the image which is aggregated to create the 3D virtual environment of such image, and a portion of scaled data based upon the analysis.

15. The system of claim 1, the organization component employs a weighting factor to at least one of the network or a user within the network, the weighting factor is utilized for scaling the portion of graphic representative of at least one user.

16. The system of claim 1, the organization component monitors communications within the network to identify at least one of a weight factor for a user, a level of trust for a user, a strength of a relationship, an amount of knowledge for a topic, an amount of expertise for a topic, or an interest related to a user.

17. A computer-implemented method that facilitates organizing data and relationships within a network, comprising:

selecting a network that includes at least one entity and a relationship with a disparate entity, the entity is at least one of a machine, a user, or a computer;

identifying a trust level for the entity based upon at least one of the relationship, or a communication within the network;

representing the entity with a portion of a graphic; and

scaling the portion of a graphic in accordance to the identified trust level.

18. The method of claim 17, further comprising:

evaluating a portion of data browsed by a user;

identifying a topic of interest based upon the evaluation;

analyzing the network to identify a level of expertise for a user within the network, the level of expertise identified relates to the topic of interest; and

adjusting the graphic representation with a re-size, the re-size is indicative to the level of expertise for a user within the network.

19. The method of claim 17, further comprising scaling the portion of graphic representative of at least one user based on sorting criteria, the sorting criteria is at least one of a relationship strength, knowledge of a topic, a geographic proximity, a computing resource, a duration of employment, a portion personal data, a position, a salary, an amount of education, an amount of trust, a duration of friendship, a communication availability, a network speed, a portion of machine data, an amount of common interests, a proximity between two machines, or a cooperative task attribute.

20. A computer-implemented system that facilitates organizing data relationships within a social network, comprising:

means for representing a user with a portion of a graphic and a relationship between the user and a disparate user;

means for aggregating a plurality of represented users and relationships into a social network;

means for analyzing the social network to identify a strength of trust between two or more users, the strength of trust is ascertained by evaluating an amount of communication between the two or more users;

means for identifying a topic level of expertise for a user; and

means for scaling the portion of graphic representative of the user based upon one of the strength of trust or the topic level of expertise.